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Data:
2.64 2.75 2.7 2.87 3.03 3.14 3.02 2.86 3.07 2.93 2.83 2.72 2.73 2.72 2.77 2.61 2.47 2.3 2.38 2.43 2.39 2.6 2.84 2.87 2.92 3.08 3.33 3.48 3.57 3.66 3.77 3.75 3.75 3.81 3.82 3.89 4.05 4.1 4.07 4.26 4.4 4.61 4.63 4.48 4.46 4.45 4.32 4.52 4.21 3.97 4.12 4.5 4.73 5.26 5.2 4.94 4.95 4.52 3.85 3.41 2.95 2.68 2.53 2.44 2.16 2.2 2.1 2.29 2.03 2.05 1.94
Seasonal Period
12
12
1
2
3
4
6
12
Chart options
R Code
par1 <- as.numeric(par1) n <- length(x) sx <- sort(x) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Variance Reduction Matrix',6,TRUE) a<-table.row.end(a) for (bigd in 0:2) { for (smalld in 0:3) { mylabel <- 'V(Y[t],d=' mylabel <- paste(mylabel,as.character(smalld),sep='') mylabel <- paste(mylabel,',D=',sep='') mylabel <- paste(mylabel,as.character(bigd),sep='') mylabel <- paste(mylabel,')',sep='') a<-table.row.start(a) a<-table.element(a,mylabel,header=TRUE) myx <- x if (smalld > 0) myx <- diff(x,lag=1,differences=smalld) if (bigd > 0) myx <- diff(myx,lag=par1,differences=bigd) a<-table.element(a,var(myx)) a<-table.element(a,'Range',header=TRUE) a<-table.element(a,max(myx)-min(myx)) a<-table.element(a,'Trim Var.',header=TRUE) smyx <- sort(myx) sn <- length(smyx) a<-table.element(a,var(smyx[smyx>quantile(smyx,0.05) & smyx<quantile(smyx,0.95)])) a<-table.row.end(a) } } a<-table.end(a) table.save(a,file='mytable.tab')
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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